Other Academic/Research/Policy Affiliations
Member: Graduate Faculty
Member: American Statistical Association, International Biometric Society, Society for Clinical Trials, Institute of Mathematical Statistics, International Society for Bayesian Analysis
Education
2006 – Ph.D. (Statistics), Baylor University
2000 – MS (Statistics), University of Arkansas
1998 – BS (Mathematics), University of Arkansas
Research Interest
Computational Statistics, Prediction Error Estimation, Dimension Reduction & Classification, Selection Bias
Current Research Projects
- Evaluation of the ANGELS High Risk Pregnancy Program (PI: Lowry – ADH)
- Identifying Quality Indicators for Substance Use Disorders (PI: Hudson)
Courses Taught
BIOS 5223/6223 Biostatistics III
BIOS 5233 Statistical Methods for Clinical Trials
Recent Publications
Heo S, Moser DK, Lennie TA, Fischer M, Kim J, Walsh MN, Ounpraseuth ST.Prediction of Heart Failure Symptoms and Health-Related Quality of Life at 12 Months from Baseline Modifiable Factors in Patients with Heart Failure. Journal of Cardiovascular Nursing(In press).
Hughes D, Magann EF, Whittington J, Wendel M, Ounpraseuth ST. Accuracy of the Ultrasound Estimate of Amniotic Fluid Volume (Amniotic Fluid Index and Single Deepest Pocket) to Identify Actual Low, Normal and High Amniotic Fluid Volume as Determined by Quantile Regression. Journal of Ultrasound in Medicine. 2019 Aug 18. doi:10.1002/jum.15116. . PMID:31423632
Easom A, Shukla A, Rotaru D, Ounpraseuth ST, Shah S, et al. Home run- Results of a Chronic Kidney Disease Telemedicine Patient Education Study. Clinical Kidney Journal. (accepted 7-5-19).
Kim JK, Shin MS, Park YM, Lee HN, Heo S, Ounpraseuth ST. Associations of Advance Directive Knowledge, Attitudes, and Barriers/Benefits with Preferences for Advance Treatment Directives among Patients with Heart Failure and their Caregivers. Journal of Cardiac Failure. 2019 Jul 22. pii: S1071-9164(19)30062-4. doi:10.1016/j.cardfail.2019.07.011. . PMID: 31344402
Rabie NZ, Sandlin AT, Ounpraseuth ST, Nembhard W, Lowery C, San Miguel K, Magann EF. Teleultrasound for Prenatal Diagnosis: A Validation Study. Australasian Journal of Ultrasound in Medicine.(Accepted June 17, 2019)
See Songthip Ounpraseuth’s Faculty Profile with the Department of Biostatistics.